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Centeno-Delphia RE, Glidden N, Long E, Ellis A, Hoffman S, Mosier K, Ulloa N, Cheng JJ, Davidson JL, Mohan S, Kamel M, Szasz JI, Schoonmaker J, Koziol J, Boerman JP, Ault A, Verma MS, Johnson TA. Nasal pathobiont abundance is a moderate feedlot-dependent indicator of bovine respiratory disease in beef cattle. Anim Microbiome 2025; 7:27. [PMID: 40087791 PMCID: PMC11909826 DOI: 10.1186/s42523-025-00387-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2024] [Accepted: 02/25/2025] [Indexed: 03/17/2025] Open
Abstract
BACKGROUND Bovine respiratory disease (BRD) poses a persistent challenge in the beef cattle industry, impacting both animal health and economic aspects. Several risk factors make an animal susceptible to BRD, including bacteria such as Mannheimia haemolytica, Pasteurella multocida, Histophilus somni, and Mycoplasma bovis. Despite efforts to characterize and quantify these bacteria in the nasal cavity for disease diagnosis, more research is needed to understand if there is a pathobiont abundance threshold for clinical signs of respiratory disease, and if the results are similar across feedlots. This study aims to compare the nasal microbiome community diversity and composition, along with the abundance of four bacterial pathogens and associated serotypes, in apparently healthy and BRD-affected beef cattle. Nasal swabs were collected from four beef feedlots across the US, covering the years 2019 to 2022. The study included post-weaned beef cattle with diverse housing conditions. RESULTS Quantification of BRD-associated pathogens effectively distinguished BRD-affected from apparently healthy beef cattle, surpassing the efficacy of 16S rRNA gene sequencing of the nasal microbiome community. Specifically, H. somni, M. bovis, and M. haemolytica had higher abundance in the BRD-affected group. Utilizing the abundance of these pathobionts and analyzing their combined abundance with machine learning models resulted in an accuracy of approximately 63% for sample classification into disease status. Moreover, there were no significant differences in nasal microbiome diversity (alpha and beta) between BRD-affected and apparently healthy cattle; instead, differences were detected between feedlots. CONCLUSIONS Notably, this study sheds light on the beef cattle nasal microbiome community composition, revealing specific differences between BRD-affected and apparently healthy cattle. Pathobiont abundance was increased in some, but not all farms. Nonetheless, more research is needed to determine if these differences are consistent across other studies. Additionally, future research should consider bacterial-viral interactions in the beef nasal metagenome.
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Affiliation(s)
| | - Natalie Glidden
- Department of Animal Science, Purdue University, 270 S Russell St, room 2020, West Lafayette, IN, USA
| | - Erica Long
- Department of Animal Science, Purdue University, 270 S Russell St, room 2020, West Lafayette, IN, USA
| | - Audrey Ellis
- Department of Animal Science, Purdue University, 270 S Russell St, room 2020, West Lafayette, IN, USA
| | - Sarah Hoffman
- Department of Animal Science, Purdue University, 270 S Russell St, room 2020, West Lafayette, IN, USA
| | - Kara Mosier
- Department of Animal Science, Purdue University, 270 S Russell St, room 2020, West Lafayette, IN, USA
| | - Noelmi Ulloa
- Escuela Agrícola Panamericana Zamorano, Valle del Yeguare, Tegucigalpa, Honduras
| | - Johnnie Junior Cheng
- Department of Animal Science, Purdue University, 270 S Russell St, room 2020, West Lafayette, IN, USA
| | - Josiah Levi Davidson
- Department of Agricultural and Biological Engineering, Purdue University, West Lafayette, IN, USA
| | - Suraj Mohan
- Department of Agricultural and Biological Engineering, Purdue University, West Lafayette, IN, USA
| | - Mohamed Kamel
- Department of Agricultural and Biological Engineering, Purdue University, West Lafayette, IN, USA
- Department of Medicine and Infectious Diseases, Faculty of Veterinary Medicine, Cairo University, Giza, 12211, Egypt
| | - Josh I Szasz
- Five Rivers Cattle Feeding, LLC, Johnstown, CO, 80534, USA
| | - Jon Schoonmaker
- Department of Animal Science, Purdue University, 270 S Russell St, room 2020, West Lafayette, IN, USA
| | - Jennifer Koziol
- School of Veterinary Medicine, Texas Tech University, Amarillo, TX, USA
| | - Jacquelyn P Boerman
- Department of Animal Science, Purdue University, 270 S Russell St, room 2020, West Lafayette, IN, USA
| | - Aaron Ault
- Department of Electrical and Computer Engineering, Purdue University, West Lafayette, IN, USA
| | - Mohit S Verma
- Department of Agricultural and Biological Engineering, Purdue University, West Lafayette, IN, USA
- Weldon School of Biomedical Engineering, Purdue University, West Lafayette, IN, USA
- Brick Nanotechnology Center, Purdue University, West Lafayette, IN, USA
| | - Timothy A Johnson
- Department of Animal Science, Purdue University, 270 S Russell St, room 2020, West Lafayette, IN, USA.
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Centeno-Delphia RE, Long EA, Ellis AC, Hofmann S, Mosier K, Ulloa N, Cheng JJ, Richards A, Boerman JP, Koziol J, Verma MS, Johnson TA. Nasal pathobiont abundance does not differ between dairy cattle with or without clinical symptoms of bovine respiratory disease. Anim Microbiome 2025; 7:16. [PMID: 39966965 PMCID: PMC11837595 DOI: 10.1186/s42523-025-00382-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2024] [Accepted: 02/07/2025] [Indexed: 02/20/2025] Open
Abstract
BACKGROUND Bovine respiratory disease (BRD) remains a significant health and economic problem to the dairy cattle industry. Multiple risk factors contribute to BRD susceptibility including the bacterial pathobionts Mannheimia haemolytica, Pasteurella multocida, Histophilus somni, and Mycoplasma bovis. Studies have characterized and quantified the abundance of these bacteria in the nasal cavity of cattle to infer and help disease diagnosis; nonetheless, there is still discrepancy in the results observed of when these microbes are commensal or pathogenic. Additionally, some of these studies are limited to a specific farm. The goal of this study is to compare the nasal microbiome community (diversity and composition) and the abundance of the four bacterial pathogens (by qPCR) in the nasal cavity to identify differences between dairy calves that are apparently healthy and those identified to have BRD. Nasal swabs were collected from approximately 50 apparently healthy and 50 BRD-affected calves sampled from five different dairy farms in the US (CA, IN, NY (two farms), and TX). RESULTS Calves diagnosed with BRD in NY, and TX had lower nasal microbiome diversity compared to the apparently healthy calves. Differences in the nasal microbiome composition were observed between the different farms predicted by Bray-Curtis and weighted UniFrac dissimilarities. Commensal and pathobiont genera Acinetobacter, Moraxella, Psychrobacter, Histophilus, Mannheimia, Mycoplasma, and Pasteurella were prevalent in the bovine nasal microbiome regardless of farm or disease status. The BRD-pathobiont H. somni was the most prevalent pathobiont among all the samples and M. bovis the least prevalent. Only in CA was the abundance of a pathobiont different according to disease status, where M. haemolytica was significantly more abundant in the BRD-affected animals than apparently healthy animals. CONCLUSIONS This study offers insight into the nasal microbiome community composition in both animals diagnosed with BRD and healthy animals, and shows that the farm effect plays a more significant role in determining the microbiome community than disease status in young dairy calves.
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Affiliation(s)
| | - Erica A Long
- Department of Animal Science, Purdue University, 270 S Russell St, West Lafayette, IN, USA
| | - Audrey C Ellis
- Department of Animal Science, Purdue University, 270 S Russell St, West Lafayette, IN, USA
| | - Sarah Hofmann
- Department of Animal Science, Purdue University, 270 S Russell St, West Lafayette, IN, USA
| | - Kara Mosier
- Department of Animal Science, Purdue University, 270 S Russell St, West Lafayette, IN, USA
| | - Noelmi Ulloa
- Escuela Agrícola Panamericana Zamorano, Valle del Yeguare, Honduras
| | - Johnnie Junior Cheng
- Department of Animal Science, Purdue University, 270 S Russell St, West Lafayette, IN, USA
| | - Andrew Richards
- Department of Animal Science, Purdue University, 270 S Russell St, West Lafayette, IN, USA
| | - Jacquelyn P Boerman
- Department of Animal Science, Purdue University, 270 S Russell St, West Lafayette, IN, USA
| | - Jennifer Koziol
- School of Veterinary Medicine, Texas Tech University, Amarillo, TX, USA
| | - Mohit S Verma
- Department of Agricultural and Biological Engineering, Purdue University, West Lafayette, IN, USA
- Weldon School of Biomedical Engineering, Purdue University, West Lafayette, IN, USA
- Brick Nanotechnology Center, Purdue University, West Lafayette, IN, USA
| | - Timothy A Johnson
- Department of Animal Science, Purdue University, 270 S Russell St, West Lafayette, IN, USA.
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3
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Pearman WS, Duffy GA, Gemmell NJ, Morales SE, Fraser CI. Long-distance movement dynamics shape host microbiome richness and turnover. FEMS Microbiol Ecol 2024; 100:fiae089. [PMID: 38857884 PMCID: PMC11212666 DOI: 10.1093/femsec/fiae089] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2023] [Revised: 05/22/2024] [Accepted: 06/08/2024] [Indexed: 06/12/2024] Open
Abstract
Host-associated microbial communities are shaped by host migratory movements. These movements can have contrasting impacts on microbiota, and understanding such patterns can provide insight into the ecological processes that contribute to community diversity. Furthermore, long-distance movements to new environments are anticipated to occur with increasing frequency due to host distribution shifts resulting from climate change. Understanding how hosts transport their microbiota with them could be of importance when examining biological invasions. Although microbial community shifts are well-documented, the underlying mechanisms that lead to the restructuring of these communities remain relatively unexplored. Using literature and ecological simulations, we develop a framework to elucidate the major factors that lead to community change. We group host movements into two types-regular (repeated/cyclical migratory movements, as found in many birds and mammals) and irregular (stochastic/infrequent movements that do not occur on a cyclical basis, as found in many insects and plants). Ecological simulations and prior research suggest that movement type and frequency, alongside environmental exposure (e.g. internal/external microbiota) are key considerations for understanding movement-associated community changes. From our framework, we derive a series of testable hypotheses, and suggest means to test them, to facilitate future research into host movement and microbial community dynamics.
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Affiliation(s)
- William S Pearman
- Department of Marine Science, University of Otago, 310 Castle St, Dunedin 9016, New Zealand
- Department of Anatomy, School of Biomedical Sciences, University of Otago, 270 Great King Street, Dunedin 9016, New Zealand
- Department of Microbiology and Immunology, School of Biomedical Sciences, University of Otago, 720 Cumberland St, Dunedin 9016, New Zealand
| | - Grant A Duffy
- Department of Marine Science, University of Otago, 310 Castle St, Dunedin 9016, New Zealand
| | - Neil J Gemmell
- Department of Anatomy, School of Biomedical Sciences, University of Otago, 270 Great King Street, Dunedin 9016, New Zealand
| | - Sergio E Morales
- Department of Microbiology and Immunology, School of Biomedical Sciences, University of Otago, 720 Cumberland St, Dunedin 9016, New Zealand
| | - Ceridwen I Fraser
- Department of Marine Science, University of Otago, 310 Castle St, Dunedin 9016, New Zealand
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Vinayamohan PG, Poelstra J, Cheng TY, Goetz H, Renaud DL, Gomez DE, Habing G. Exploring the effects of transport duration on the fecal microbial communities of surplus dairy calves. J Dairy Sci 2024; 107:3863-3884. [PMID: 38216047 DOI: 10.3168/jds.2023-24002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2023] [Accepted: 12/03/2023] [Indexed: 01/14/2024]
Abstract
Transportation significantly affects the health and welfare of surplus dairy calves, largely due to the various stressors and pathogen exposures encountered during the process. Concurrently, an animal's microbiome is known to correlate with its health status, with stress-induced alterations in the microbiota potentially precipitating various diseases. This study aimed to compare the effects of transportation durations of 6, 12, or 16 h on the fecal microbiota in young surplus dairy calves. We used a randomized controlled design in which surplus dairy calves aged 1 to 19 d from 5 commercial dairy farms in Ontario were allocated into 1 of 3 transportation groups (6, 12, and 16 h of continuous transportation). Health assessments were conducted before, immediately after, and for 2 wk following transportation. Fecal samples were collected before, immediately after, and at 24 and 72 h after transportation and subjected to 16S rRNA sequencing. Alpha diversity metrics showed no significant differences between the 3 transportation groups at any of the sampling time points. Although β diversity metrics revealed no clustering by transportation groups, they indicated significant differences across sampling time points within each group. The overall analysis revealed a total of 22 phyla and 353 genera, with Firmicutes, Bacteroidetes, Proteobacteria, Actinobacteria, and Fusobacteria being the most abundant phyla. Bacteroides, Escherichia/Shigella, Lactobacillus, Collinsella, and Bifidobacterium were the most abundant genera. The reduction in Fusobacteria abundance before and after transport was significantly larger in the 16-h transportation group when compared with the 6-h transportation group. We also identified several genus-level and amplicon sequence variation-level taxa that displayed significant differences in their abundances across various transportation groups, observed at all sampling time points investigated. This research identifies microbiota changes due to varying transportation durations in surplus dairy calves, providing a broad understanding of the microbial shifts in surplus dairy calves after transportation across varying durations. Although these variations may not directly correlate with overall calf health or indicate dysbiosis, these results emphasize the importance of further investigating transportation practices to enhance calf health and well-being. Further studies are warranted to elucidate the relationship between microbiota and calf health.
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Affiliation(s)
| | - Jelmer Poelstra
- Molecular and Cellular Imaging Center (MCIC), The Ohio State University, Wooster, OH 44691
| | - Ting-Yu Cheng
- Department of Veterinary Preventive Medicine, The Ohio State University, Columbus, OH 43210
| | - Hanne Goetz
- Department of Population Medicine, Ontario Veterinary College, University of Guelph, Guelph, ON, Canada, NIG 2W1
| | - David L Renaud
- Department of Population Medicine, Ontario Veterinary College, University of Guelph, Guelph, ON, Canada, NIG 2W1
| | - Diego E Gomez
- Department of Clinical Studies, Ontario Veterinary College, University of Guelph, Guelph, ON, Canada, NIG 2W1
| | - Greg Habing
- Department of Veterinary Preventive Medicine, The Ohio State University, Columbus, OH 43210.
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5
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Qi J, Gan L, Huang F, Xie Y, Guo H, Cui H, Deng J, Gou L, Cai D, Pan C, Lu X, Shah AM, Fang J, Zuo Z. Multi-omics reveals that alkaline mineral water improves the respiratory health and growth performance of transported calves. MICROBIOME 2024; 12:48. [PMID: 38454496 PMCID: PMC10921756 DOI: 10.1186/s40168-023-01742-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/06/2023] [Accepted: 12/19/2023] [Indexed: 03/09/2024]
Abstract
BACKGROUND Long-distance transportation, a frequent practice in the cattle industry, stresses calves and results in morbidity, mortality, and growth suppression, leading to welfare concerns and economic losses. Alkaline mineral water (AMW) is an electrolyte additive containing multiple mineral elements and shows stress-mitigating effects on humans and bovines. RESULTS Here, we monitored the respiratory health status and growth performance of 60 Simmental calves subjected to 30 hours of road transportation using a clinical scoring system. Within the three days of commingling before the transportation and 30 days after the transportation, calves in the AMW group (n = 30) were supplied with AMW, while calves in the Control group (n = 29) were not. On three specific days, namely the day before transportation (day -3), the 30th day (day 30), and the 60th day (day 60) after transportation, sets of venous blood, serum, and nasopharyngeal swab samples were collected from 20 calves (10 from each group) for routine blood testing, whole blood transcriptomic sequencing, serology detection, serum untargeted metabolic sequencing, and 16S rRNA gene sequencing. The field data showed that calves in the AMW group displayed lower rectal temperatures (38.967 ℃ vs. 39.022 ℃; p = 0.004), respiratory scores (0.079 vs. 0.144; p < 0.001), appetite scores (0.024 vs. 0.055; p < 0.001), ocular and ear scores (0.185 vs. 0.338; p < 0.001), nasal discharge scores (0.143 vs. 0.241; p < 0.001), and higher body weight gains (30.870 kg vs. 7.552 kg; p < 0.001). The outcomes of laboratory and high throughput sequencing data revealed that the calves in the AMW group demonstrated higher cellular and humoral immunities, antioxidant capacities, lower inflammatory levels, and intestinal absorption and lipogenesis on days -3 and 60. The nasopharynx 16S rRNA gene microbiome analysis revealed the different composition and structure of the nasopharyngeal microflora in the two groups of calves on day 30. Joint analysis of multi-omics revealed that on days -3 and 30, bile secretion was a shared pathway enriched by differentially expressed genes and metabolites, and there were strong correlations between the differentially expressed metabolites and the main genera in the nasopharynx. CONCLUSIONS These results suggest that AMW supplementation enhances peripheral immunity, nutrition absorption, and metabolic processes, subsequently affecting the nasopharyngeal microbiota and improving the respiratory health and growth performance of transported calves. This investigation provided a practical approach to mitigate transportation stress and explored its underlying mechanisms, which are beneficial for the development of the livestock industry. Video Abstract.
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Affiliation(s)
- Jiancheng Qi
- Key Laboratory of Animal Disease and Human Health of Sichuan Province, College of Veterinary Medicine, Sichuan Agricultural University, 211 Huimin Road, Wenjiang District, Chengdu, 611130, Sichuan, China
| | - Linli Gan
- Key Laboratory of Animal Disease and Human Health of Sichuan Province, College of Veterinary Medicine, Sichuan Agricultural University, 211 Huimin Road, Wenjiang District, Chengdu, 611130, Sichuan, China
| | - Fangyuan Huang
- Key Laboratory of Animal Disease and Human Health of Sichuan Province, College of Veterinary Medicine, Sichuan Agricultural University, 211 Huimin Road, Wenjiang District, Chengdu, 611130, Sichuan, China
| | - Yue Xie
- Key Laboratory of Animal Disease and Human Health of Sichuan Province, College of Veterinary Medicine, Sichuan Agricultural University, 211 Huimin Road, Wenjiang District, Chengdu, 611130, Sichuan, China
| | - Hongrui Guo
- Key Laboratory of Animal Disease and Human Health of Sichuan Province, College of Veterinary Medicine, Sichuan Agricultural University, 211 Huimin Road, Wenjiang District, Chengdu, 611130, Sichuan, China
| | - Hengmin Cui
- Key Laboratory of Animal Disease and Human Health of Sichuan Province, College of Veterinary Medicine, Sichuan Agricultural University, 211 Huimin Road, Wenjiang District, Chengdu, 611130, Sichuan, China
| | - Junliang Deng
- Key Laboratory of Animal Disease and Human Health of Sichuan Province, College of Veterinary Medicine, Sichuan Agricultural University, 211 Huimin Road, Wenjiang District, Chengdu, 611130, Sichuan, China
| | - Liping Gou
- Key Laboratory of Animal Disease and Human Health of Sichuan Province, College of Veterinary Medicine, Sichuan Agricultural University, 211 Huimin Road, Wenjiang District, Chengdu, 611130, Sichuan, China
| | - Dongjie Cai
- Key Laboratory of Animal Disease and Human Health of Sichuan Province, College of Veterinary Medicine, Sichuan Agricultural University, 211 Huimin Road, Wenjiang District, Chengdu, 611130, Sichuan, China
| | - Chunhui Pan
- Sichuan Hannover Biological Technology Co. Ltd, Deyang, 618000, Sichuan, China
| | - Xia Lu
- Beijing Jnnail Biological Technology Co. Ltd, Daxing, Beijing, 102600, China
| | - Ali Mujtaba Shah
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, Shaanxi, China
| | - Jing Fang
- Key Laboratory of Animal Disease and Human Health of Sichuan Province, College of Veterinary Medicine, Sichuan Agricultural University, 211 Huimin Road, Wenjiang District, Chengdu, 611130, Sichuan, China.
| | - Zhicai Zuo
- Key Laboratory of Animal Disease and Human Health of Sichuan Province, College of Veterinary Medicine, Sichuan Agricultural University, 211 Huimin Road, Wenjiang District, Chengdu, 611130, Sichuan, China.
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6
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Neal K, Amachawadi RG, White BJ, Shippy TD, Theurer ME, Larson RL, Lubbers BV, Kleinhenz M. Nasopharyngeal Bacterial Prevalence and Microbial Diversity at First Treatment for Bovine Respiratory Disease (BRD) and Its Associations with Health and Mortality Outcomes in Feedyard Cattle. Microorganisms 2023; 12:33. [PMID: 38257861 PMCID: PMC10818627 DOI: 10.3390/microorganisms12010033] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2023] [Revised: 12/17/2023] [Accepted: 12/21/2023] [Indexed: 01/24/2024] Open
Abstract
Bovine respiratory disease (BRD) is an economically important disease in feedyards influencing both animal welfare and antimicrobial utilization. Major pathogens associated with BRD have been identified in previous research, but little information is available on the relationship between nasopharyngeal microbiota and health outcomes. The objective of this study was to identify potential associations between nasopharyngeal microbiota and antimicrobial resistance patterns of clinical cases that lived or died compared to non-diseased controls. Enrolled animals were subdivided based on clinical disease status and case outcome (subsequent mortality). Deep nasopharyngeal swabs were collected on enrolled animals and submitted for bacterial isolation, antimicrobial susceptibility determination, and metagenomics analysis. Enrolled cattle were represented in three groups: animals at first treatment for BRD that subsequently died (BRDM, n = 9), animals at first treatment for BRD that subsequently lived (BRDL, n = 15), and animals that were never treated for BRD during the feeding phase (CONT, n = 11). Antimicrobial resistance patterns for Pasteurella multocida illustrated cattle in each outcome category had isolates that were pan-susceptible or only showed resistance to oxytetracycline. The relative abundance of species and genera illustrated few differences among the three outcomes. Higher alpha diversity was identified in BRDL compared to CONT at the species level, and both BRDL and BRDM showed increased alpha diversity compared to CONT at the general level. Overall, this work illustrated nasopharyngeal microbiota showed relatively few differences among BRD cases that lived or died compared to animals without BRD.
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Affiliation(s)
- Kyndall Neal
- Beef Cattle Institute, Department of Clinical Sciences, College of Veterinary Medicine, Kansas State University, Manhattan, KS 66506, USA; (K.N.); (B.J.W.); (R.L.L.); (B.V.L.)
| | - Raghavendra G. Amachawadi
- Beef Cattle Institute, Department of Clinical Sciences, College of Veterinary Medicine, Kansas State University, Manhattan, KS 66506, USA; (K.N.); (B.J.W.); (R.L.L.); (B.V.L.)
| | - Brad J. White
- Beef Cattle Institute, Department of Clinical Sciences, College of Veterinary Medicine, Kansas State University, Manhattan, KS 66506, USA; (K.N.); (B.J.W.); (R.L.L.); (B.V.L.)
| | - Teresa D. Shippy
- Data Science Center, Division of Biology, Kansas State University, Manhattan, KS 66506, USA;
| | - Miles E. Theurer
- Veterinary Research and Consulting Services LLC, Hays, KS 67601, USA;
| | - Robert L. Larson
- Beef Cattle Institute, Department of Clinical Sciences, College of Veterinary Medicine, Kansas State University, Manhattan, KS 66506, USA; (K.N.); (B.J.W.); (R.L.L.); (B.V.L.)
| | - Brian V. Lubbers
- Beef Cattle Institute, Department of Clinical Sciences, College of Veterinary Medicine, Kansas State University, Manhattan, KS 66506, USA; (K.N.); (B.J.W.); (R.L.L.); (B.V.L.)
| | - Michael Kleinhenz
- Veterinary Education, Research and Outreach, Texas A&M University, Canyon, TX 79015, USA;
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Zhang Z, Zhang C, Zhong Y, Yang S, Deng F, Li Y, Chai J. The spatial dissimilarities and connections of the microbiota in the upper and lower respiratory tract of beef cattle. Front Cell Infect Microbiol 2023; 13:1269726. [PMID: 38029262 PMCID: PMC10660669 DOI: 10.3389/fcimb.2023.1269726] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2023] [Accepted: 10/06/2023] [Indexed: 12/01/2023] Open
Abstract
Bovine respiratory disease (BRD) causes morbidity and mortality in cattle. The critical roles of the respiratory microbiota in BRD have been widely studied. The nasopharynx was the most popular sampling niche for BRD pathogen studies. The oral cavity and other niches within the respiratory tract, such as nostrils and lung, are less assessed. In this study, oropharyngeal swabs (OS), nasal swabs (NS), nasopharyngeal swabs (NP), and bronchoalveolar lavage (BAL) were collected from calves located in four countries and analyzed for investigation of the dissimilarities and connections of the respiratory microbiota. The results showed that the microbial diversity, structure, and composition in the upper and lower respiratory tract in beef cattle from China, the USA, Canada, and Italy were significantly different. The microbial taxa for each sampling niche were specific and associated with their local physiology and geography. The signature microbiota for OS, NS, NP, and BAL were identified using the LEfSe algorithm. Although the spatial dissimilarities among the respiratory niches existed, the microbial connections were observed in beef cattle regardless of geography. Notably, the nostril and nasopharynx had more similar microbiomes compared to lung communities. The major bacterial immigration patterns in the bovine respiratory tract were estimated and some of them were associated with geography. In addition, the contribution of oral microbiota to the nasal and lung ecosystems was confirmed. Lastly, microbial interactions were characterized to reveal the correlation between the commercial microbiota and BRD-associated pathogens. In conclusion, shared airway microbiota among niches and geography provides the possibility to investigate the common knowledge for bovine respiratory health and diseases. In spite of the dissimilarities of the respiratory microbiota in cattle, the spatial connections among these sampling niches not only allow us to deeply understand the airway ecosystem but also benefit the research and development of probiotics for BRD.
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Affiliation(s)
- Zhihao Zhang
- Guangdong Provincial Key Laboratory of Animal Molecular Design and Precise Breeding, College of Life Science and Engineering, Foshan University, Foshan, China
| | - Chengqian Zhang
- Guangdong Provincial Key Laboratory of Animal Molecular Design and Precise Breeding, College of Life Science and Engineering, Foshan University, Foshan, China
| | - Yikai Zhong
- Guangdong Provincial Key Laboratory of Animal Molecular Design and Precise Breeding, College of Life Science and Engineering, Foshan University, Foshan, China
| | - Shuli Yang
- Guangdong Provincial Key Laboratory of Animal Molecular Design and Precise Breeding, College of Life Science and Engineering, Foshan University, Foshan, China
| | - Feilong Deng
- Guangdong Provincial Key Laboratory of Animal Molecular Design and Precise Breeding, College of Life Science and Engineering, Foshan University, Foshan, China
- Division of Agriculture, Department of Animal Science, University of Arkansas, Fayetteville, AR, United States
| | - Ying Li
- Guangdong Provincial Key Laboratory of Animal Molecular Design and Precise Breeding, College of Life Science and Engineering, Foshan University, Foshan, China
| | - Jianmin Chai
- Guangdong Provincial Key Laboratory of Animal Molecular Design and Precise Breeding, College of Life Science and Engineering, Foshan University, Foshan, China
- Division of Agriculture, Department of Animal Science, University of Arkansas, Fayetteville, AR, United States
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8
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Howe S, Kegley B, Powell J, Chen S, Zhao J. Effect of bovine respiratory disease on the respiratory microbiome: a meta-analysis. Front Cell Infect Microbiol 2023; 13:1223090. [PMID: 37743862 PMCID: PMC10516580 DOI: 10.3389/fcimb.2023.1223090] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2023] [Accepted: 08/23/2023] [Indexed: 09/26/2023] Open
Abstract
Background Bovine respiratory disease (BRD) is the most devastating disease affecting beef and dairy cattle producers in North America. An emerging area of interest is the respiratory microbiome's relationship with BRD. However, results regarding the effect of BRD on respiratory microbiome diversity are conflicting. Results To examine the effect of BRD on the alpha diversity of the respiratory microbiome, a meta-analysis analyzing the relationship between the standardized mean difference (SMD) of three alpha diversity metrics (Shannon's Diversity Index (Shannon), Chao1, and Observed features (OTUs, ASVs, species, and reads) and BRD was conducted. Our multi-level model found no difference in Chao1 and Observed features SMDs between calves with BRD and controls. The Shannon SMD was significantly greater in controls compared to that in calves with BRD. Furthermore, we re-analyzed 16S amplicon sequencing data from four previously published datasets to investigate BRD's effect on individual taxa abundances. Additionally, based on Bray Curtis and Jaccard distances, health status, sampling location, and dataset were all significant sources of variation. Using a consensus approach based on RandomForest, DESeq2, and ANCOM-BC2, we identified three differentially abundant amplicon sequence variants (ASVs) within the nasal cavity, ASV5_Mycoplasma, ASV19_Corynebacterium, and ASV37_Ruminococcaceae. However, no ASVs were differentially abundant in the other sampling locations. Moreover, based on SECOM analysis, ASV37_Ruminococcaceae had a negative relationship with ASV1_Mycoplasma_hyorhinis, ASV5_Mycoplasma, and ASV4_Mannheimia. ASV19_Corynebacterium had negative relationships with ASV1_Mycoplasma_hyorhinis, ASV4_Mannheimia, ASV54_Mycoplasma, ASV7_Mycoplasma, and ASV8_Pasteurella. Conclusions Our results confirm a relationship between bovine respiratory disease and respiratory microbiome diversity and composition, which provide additional insight into microbial community dynamics during BRD development. Furthermore, as sampling location and sample processing (dataset) can also affect results, consideration should be taken when comparing results across studies.
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Affiliation(s)
- Samantha Howe
- Department of Animal Science, Division of Agriculture, University of Arkansas, Fayetteville, AR, United States
| | - Beth Kegley
- Department of Animal Science, Division of Agriculture, University of Arkansas, Fayetteville, AR, United States
| | - Jeremy Powell
- Department of Animal Science, Division of Agriculture, University of Arkansas, Fayetteville, AR, United States
| | - Shicheng Chen
- Medical Laboratory Sciences Program, College of Health and Human Sciences, Northern Illinois University, DeKalb, IL, United States
| | - Jiangchao Zhao
- Department of Animal Science, Division of Agriculture, University of Arkansas, Fayetteville, AR, United States
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